By Exemplary AI
Reviewed
Is reading the text enough, or do you need the information inside it?
OCR turns text in a scan or image into text a computer can read. AI document processing goes further: it can pick out details such as dates, totals and names, and organize them for the next step. Use OCR for readable text. Use document processing when someone still has to sort, copy or check that text afterward.
Tell us which details matter. We handle the document technology.
Exemplary combines text reading with extracting information and linking it back to the source document. We help set it up for your document types, so your team can review the details instead of copying them by hand.
Talk to us about your task- You name the details you need, such as invoice totals or contract dates.
- We help configure the reading and extraction steps.
- Your team checks the result against the original document.
What changes for your team?
Scroll across the table to view both approaches.
| What matters | OCR: turn scans into text | AI: turn documents into useful information |
|---|---|---|
| What you get | Readable text from a page. | Named details, tables or answers drawn from the document. |
| What happens next | Someone or another tool must decide which text matters. | The selected information is ready for review or an agreed next step. |
| Different layouts | Reading the words does not tell you what each one means. | Can identify information across layouts, with testing on your examples. |
| What people check | Whether the words were read correctly. | Whether the right information was selected and is correct. |
When each approach fits.
OCR: turn scans into text
- You want searchable scans or copied text.
- You already have a reliable way to use the extracted text.
AI: turn documents into useful information
- People still copy dates, names or amounts into another system.
- You need consistent information from several document formats.
An invoice contains more than words. Your team needs the amount due.
In this example, OCR supplies the text. Document processing helps turn it into a usable record.
- 01
Choose the details
Your team asks for the supplier, invoice number, due date and total.
- 02
We set up the extraction
Exemplary reads the invoice and prepares those details with source references.
- 03
Review and continue
Your team checks the values before using them in the next step of its process.
A readable page is only the first step.
A page may contain several dates and amounts. Reading every number correctly does not tell you which one is the payment deadline or final total. The useful test is whether the system finds the specific information your team needs.
Try the difficult documents too.
Include blurry scans, missing pages and unfamiliar layouts in your trial. We help you see where the system works well and where a person needs to check or request a better copy.
Questions you might have.
Does AI replace OCR?
Often they work together. OCR reads text from scans; the next step identifies the information you want from that text.
Can it handle every document without mistakes?
No. Document quality and layout matter. Test your real examples and agree which results need a person’s review.
Can the documents stay in our network?
Exemplary can run document processing in your own environment. We help choose the right setup for your data requirements.
More about these options
These guides explain how to choose an approach. Examples show how a task could work; they are not customer results. The links below explain the capabilities and background behind this guide.